Prompt Manerix Cap data analysis interface used to monitor liquidity and risk exposure

For UK SMEs & Private Investors

Put idle cash to work, without trading away control of your risk

Prompt Manerix Cap applies predictive modelling and continuous risk monitoring to surplus capital, so allocation decisions are made on data rather than instinct.

Request Technical Brief View Platform Specifications

Built for finance teams managing working capital, treasury reserves, and investment portfolios across the UK.

The Problem With Idle Cash

Cash sitting still is a decision, even if no one made it deliberately

Most business owners do not leave cash idle by choice. They leave it idle because the alternative — manually tracking market conditions, credit exposure, and liquidity needs across multiple accounts — is time they don't have.

Modern risk management has become more complex, not less. Interest rate movement, counterparty exposure, and short-term liquidity requirements now shift on a weekly basis, not annually. Spreadsheets and quarterly reviews were not built for that pace.

Internally, Prompt Manerix Cap represents each pool of capital as a live data set — inflows, outflows, volatility exposure, and liquidity thresholds — updated continuously rather than reviewed on a fixed schedule.
Prompt Manerix Cap dashboard visualisation showing capital allocation and risk exposure over time

Core Capabilities

Three functions, one continuous decision loop

01

Predictive Analysis

The platform ingests historical and live market data to model likely near-term movement in interest rates, liquidity conditions, and asset volatility. Rather than reacting to events after they occur, allocation recommendations are generated ahead of anticipated shifts, based on statistical confidence rather than speculation.

02

Automated Risk Shield

Every position is monitored against pre-set exposure thresholds around the clock. When market conditions move a holding closer to a defined risk boundary, the system flags it and, where authorised, rebalances automatically. Capital preservation is treated as the default objective, with yield optimisation applied only within the boundaries you set.

03

Capital Allocation Logic

Recommendations are built on a weighted model that balances short-term liquidity needs against longer-term yield potential. You define the minimum cash reserve required for operations; the platform allocates only what sits above that line, and never below it.

Methodology

From raw data to a documented recommendation

Step 1

Integration

Business bank feeds, treasury accounts, and existing portfolio data are connected via read-only, permissioned API access. No credentials or manual uploads are required after initial setup.

Step 2

Analysis

Incoming data is cross-referenced against market indicators and your defined risk parameters. The model recalculates exposure and opportunity continuously, not on a batch schedule.

Step 3

Recommendation

A ranked set of allocation options is presented with the underlying data behind each one. Execution can be automated within your set thresholds, or held for manual sign-off.

System Specifications

Performance measured in engineering terms, not marketing terms

We publish the same operational specifications our engineering team is measured against internally. No client case studies are used here, because none are required to state how the system is built.

99.9% Target platform uptime, monitored continuously across all deployment regions
24/7 Continuous risk monitoring cycle, with no scheduled downtime for analysis
<250ms Typical system response latency between data ingestion and recommendation output

Frequently Asked Questions

Practical questions we're asked before onboarding

What security standards does the platform operate under?

Data connections use read-only, permissioned API access; the platform never holds authority to move funds outside the parameters you explicitly configure. Data in transit and at rest is encrypted, and access is logged for audit purposes.

How long does onboarding typically take?

Most businesses complete account integration and initial risk-parameter configuration within one working week. The exact timeline depends on how many accounts and data sources need to be connected.

Can I set my own risk thresholds?

Yes. Minimum cash reserves, maximum exposure per asset class, and rebalancing triggers are all configurable per account. The platform will not allocate capital outside the boundaries you define.

Review the platform specifications before you commit to anything

Request a technical brief covering integration requirements, risk-model logic, and data handling. No commitment is required to receive it.

Request Technical Brief